AI-Powered Java Applications with Spring AI 2.0 & Spring Boot 4
The future of software is not AI or Java. It is AI inside Java. Build advisors, streaming, RAG, tool calling, agents and MCP into one real project.
Swap providers without rewriting your app.
Build Java applications that think.
- 01Use Spring AI advisors and build your own
- 02Stream responses with SSE and Reactor Flux
- 03Turn model output into type-safe Java objects
- 04Take RAG from ingestion to production
- 05Add tool calling and build AI agents
- 06Use the Model Context Protocol (MCP)
- 07Understand tokens, context windows and temperature
- 08Use ChatClient, prompt templates and prompt chaining
- 09Convert output with BeanOutputConverter, ListOutputConverter and MapOutputConverter
- 10Add chat memory for multi-turn conversations
- 11Build semantic search with embeddings and pgvector
- 12Learn the essentials of LangChain4j
Thirteen parts, ending in one real project.
One real project implements everything you learn: a full-stack streaming AI chatbot with memory, RAG over your own documents and tool-using agents.
- 01Welcome and orientation
- 02AI foundations
- 03Spring AI foundations
- 04Prompt engineering for production APIs
- 05Spring AI advisors
- 06Chat memory with LLMs
- 07Memory and conversation state
- 08Embeddings and vector search
- 09RAG: Retrieval Augmented Generation
- 10Tool use and function calling
- 11Building agents with Spring AI
- 12MCP for Java developers
- 13Real project: a full-stack streaming AI chatbotMemory, semantic search, RAG over your own documents and tool-using agents, with a ready-made frontend.
AI engineering is becoming a core backend skill.
Step 2 of the AI path. Multi-agent systems come next.
- PHASE 2 · USE AIGen AI & Agentic AI: Build Real Agents with Claude & Copilot
- PHASE 2 · BUILD WITH AI · YOU ARE HEREAI-Powered Java Applications with Spring AI 2.0
- PHASE 2 · ARCHITECT AGENTSMulti-Agent AI Systems for Java Developers
- You are a Java or Spring Boot developer
- You are a backend engineer shipping AI features
- You are tired of Python-only AI courses
- You are new to Java and Spring Boot. Start with Phase 1 of the roadmap
- You want a no-code AI course

Built by EmbarkX.
EmbarkX is a career platform for software engineers. Every course is built around one real system and taken all the way to production, then kept current as the tools change.
160,000+ learners · 192 countries · 4.8 average learner ratingLed by Faisal Memon, Founder and CEOMicrosoft MVP · 13+ years building startups and global productsMore about EmbarkXQuestions
Where will I take the course?
On Udemy, on the web or in the Udemy mobile app. The EmbarkX coupon link gets you the lowest price.
What do I need before starting?
Working knowledge of Java and Spring Boot. No prior AI or ML experience needed.
Which models does it use?
OpenAI, Anthropic Claude, Google Gemini and local models through Ollama.
Is it free with Udemy Business?
Yes. If your company provides Udemy Business, you can enroll at no cost.
What if it is not right for me?
You get lifetime access and a 30-day refund policy through Udemy.
